Effects of Artificial Intelligence on Software Development

Aditya Chakurkar | August 23, 2021

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What’s the core of those drone-supported Amazon deliveries, online food orders, the ability to watch your favorite shows on Netflix, and virtually augmented monitoring of your upcoming trip to Disneyland?

Software!

They constitute a significant part of almost every evolution we see around us. But how are the developers managing to yield so much from computer programming? How are they able to enrich so many lives through their creations all over the world?

The answer is simple — Artificial intelligence (AI). Undoubtedly, AI is one of the leading technologies now, and it has the power to transform every bit of any business’ functionality.

The software industry is not behind in making the most of AI and delivering intelligent and intelligent software. On the contrary, modern enterprises are convinced to adopt an entirely new software development paradigm to stand out from the competition.

Traditionally, machine learning was predominant in the Software Development Lifecycle (SLDC). Even though it could encode numerous tasks in a computer program, it took relatively more time to be finalized. It required developers to put the exact requirements together first and hand them over to engineers. And then, engineers programmed the code accordingly.

However, AI came with its advantages. As a result, it is reshaping the modern world of automated testing, Agile test software, and ultimately the entire software development. So if you see bots accompanying computer programs to make software development even easier, faster, and smarter in the future, it will be because of AI.

So if you are already thinking of potential changes AI will bring to your software development process and how you can reap all the benefits of AI software development, stay tuned!

Area of AI Software Development

Artificial intelligence has a significant impact on various aspects of software development, for example, software testing, coding, designs, etc.

Let’s now discuss what role AI will play in the current and future of software technologies by reshaping the major software development areas.

Software Design Process will Improve

Designing software is one of the most complicated and error-prone stages of software development. Therefore, specialized skills and the right experience are crucial for designing and planning software development projects to come up with an absolute solution.

Moreover, the software designs are mostly subjected to dynamic changes as clients may suggest changes in different stages of software development. AI-powered systems such as AIDA (Artificial Intelligence Design Assistant) can eliminate such complexities in the design process.

Time & Money Saving Software Testing

Traditionally, software testing takes a lot of time, especially when there are changes in the source code. Plus, it's costly, too! But in the end, it’s one of the essential software development stages as it ensures product quality. Therefore, there’s no room for error.

Thankfully, there’s AI and a variety of software testing tools. Testers can utilize them to develop test cases and carry out regression testing. This kind of automated testing is relatively faster, smarter, and astonishingly time and money-saving. On top of all, it's error-free!

Easy Data Gathering and Analysis

Data gathering and data analysis are the most fundamental stage of any software development lifecycle and need a significant amount of human intervention. The project team has to come up with all the information necessary for the software development, and clients' input can be dynamic.

Automated data gathering through various AI tools such as Google ML Kit can be the best option to ease the process. It can take care of specific data-gathering processes without the need for significant human intervention.

Say Bye to Manual Code Generation

Generating huge codes requires a lot of labor, time, and money. Therefore, simplifying the code generation process is significant because code writing is crucial for any software development life cycle.

While traditional code generation can fall short in identifying the target goals effectively, automated code generation can be a game-changer. This is because AI tools typically generate snippets of reusable codes and write code lines as instructed. As a result, they save a substantial amount of money, labor, and time.

Benefits of Artificial Intelligence in Software Development

Incorporating artificial intelligence in software development can do wonders. Considering the incredible impact of AI on software development and the possibility of incredible transformations in the future software technologies due to AI, here are some promising benefits of AI software development.
  • Enhanced accuracy in estimates
  • Conceptual decision making
  • Error-free end product
  • Easy bugs and error detection
  • Improved data security

Conclusion

The software development landscape is rapidly changing, and AI has a lot to do with it. Being an enterprise, you need to understand the benefits of AI and how it is enriching human lives worldwide.

It's hard to deny the tremendous pressure on the current software development industry from the demand for applications. However, it’s one of the fastest-growing industries, and AI can simplify it with secure, unique, and scalable solutions. Unquestionably, AI software development is the future, and adopting it is the best decision enterprises can make.

Frequently Asked Questions

What are the things to consider when adopting AI for software development?

It would help if you consider the following factors to reach new heights with AI software development:
  • Cloud is necessary for AI
  • AI solutions are much more than implementing machine learning algorithm
  • AI is near real-time or real-time
  • Big data is required for AI
  • Machine learning-powered AI solitons may need frequent retraining


What are the real-world examples of integrating AI into software development?

Here are some examples of AI tools that several organizations are using for efficient AI software development:
  • Deep Code
  • Stack Overflow AutoComplete
  • Google Bugspot Tool w3C

What are the top machine learning and AI tools software developers should consider?

Generally, Machine learning software, Deep Learning software, AI platforms, and Chatbots are the four major types of software. Apart from the tools mentioned above, developers should consider the following AI tools for the enhancement of software development:
  • Google Cloud’s AutoML Engine
  • Kite
  • AIDA
  • Testim.io
  • IBM Watson
  • Amazon Alexa
  • Cortana
  • TensorFlow
  • Azure Machine Learning Studio

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